





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase									=   {
    """configuration_longformer""": [
        """LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """LongformerConfig""",
        """LongformerOnnxConfig""",
    ],
    """tokenization_longformer""": ["""LongformerTokenizer"""],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   ["""LongformerTokenizerFast"""]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """LongformerForMaskedLM""",
					    """LongformerForMultipleChoice""",
					    """LongformerForQuestionAnswering""",
					    """LongformerForSequenceClassification""",
					    """LongformerForTokenClassification""",
					    """LongformerModel""",
					    """LongformerPreTrainedModel""",
					    """LongformerSelfAttention""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFLongformerForMaskedLM""",
					    """TFLongformerForMultipleChoice""",
					    """TFLongformerForQuestionAnswering""",
					    """TFLongformerForSequenceClassification""",
					    """TFLongformerForTokenClassification""",
					    """TFLongformerModel""",
					    """TFLongformerPreTrainedModel""",
					    """TFLongformerSelfAttention""",
					]


if TYPE_CHECKING:
					from .configuration_longformer import (
					    LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    LongformerConfig,
					    LongformerOnnxConfig,
					)
					from .tokenization_longformer import LongformerTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_longformer_fast import LongformerTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_longformer import (
										    LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LongformerForMaskedLM,
										    LongformerForMultipleChoice,
										    LongformerForQuestionAnswering,
										    LongformerForSequenceClassification,
										    LongformerForTokenClassification,
										    LongformerModel,
										    LongformerPreTrainedModel,
										    LongformerSelfAttention,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_longformer import (
										    TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFLongformerForMaskedLM,
										    TFLongformerForMultipleChoice,
										    TFLongformerForQuestionAnswering,
										    TFLongformerForSequenceClassification,
										    TFLongformerForTokenClassification,
										    TFLongformerModel,
										    TFLongformerPreTrainedModel,
										    TFLongformerSelfAttention,
										)

else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase									=   {
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """GraphormerForGraphClassification""",
					    """GraphormerModel""",
					    """GraphormerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_graphormer import (
										    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GraphormerForGraphClassification,
										    GraphormerModel,
										    GraphormerPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



